Unlimited-OCR
baidumittextvision

Unlimited-OCR

Updated Nov 13, 2026
Parameters
3.3B
Context
32,768
License
mit
Updated
Nov 13, 2026

Will it run on your hardware?

Pick your GPU memory - see which quantizations fit, and the cheapest card for the rest

Runs on your 24 GB - best at FP16
4 of 4 quantizations fit Unlimited-OCR with real runtime overhead.
Q4_K_M
2 GB
Q5_K_M
2 GB
Q8_0
4 GB
FP16
7 GB
fits tight too big

Need an exact figure for your context length? Use the VRAM calculator.

Run it locally

Copy-paste - running in under a minute

vLLMOpenAI-compatible API
vllm serve baidu/Unlimited-OCR

New to this? Start with Ollama · serve to many users with vLLM.

Deep dive

Notes, sources, and the full write-up

Unlimited-OCR is an open-weight vision-language model from baidu, published on Hugging Face in June 2026. It has 3.3B parameters and is released under the mit license.

HardwareLink to this section

At full FP16 precision the weights need about 7 GB of memory; 8-bit quantization brings that to roughly 4 GB. Check the VRAM tiers above to see which GPUs fit it.

PopularityLink to this section

Unlimited-OCR had 5,833,292 downloads on Hugging Face in the last month and has 5,005 likes.

Run it locallyLink to this section

The weights are on Hugging Face and load with Hugging Face Transformers. Follow the model card for the exact setup and license terms.

Frequently asked

Quick answers to common questions

How much VRAM does Unlimited-OCR need?

Unlimited-OCR with 3.3B parameters needs approximately 2 GB at Q4_K_M quantization. Use our VRAM calculator for an exact estimate.

Is Unlimited-OCR better than other baidu models?

Unlimited-OCR has 3.3B parameters with 32,768 context - a strong choice for vision, edge.

What license is Unlimited-OCR under?

Unlimited-OCR is released under the mit license, making it suitable for most commercial and personal projects.

What hardware runs Unlimited-OCR well?

With 3.3B parameters, Unlimited-OCR requires adequate VRAM. High-end GPUs like the RTX 4090 (24GB), RTX 5090 (32GB), or Mac Studio with unified memory are good options. Check our hardware directory for specific recommendations.

What is the best quantization for Unlimited-OCR?

Q4_K_M is the recommended sweet spot - ~98% of FP16 quality at ~27% of the size. Q5_K_M (~2 GB) is an option if you have spare VRAM. Use our VRAM calculator to compare.

How long can Unlimited-OCR's context window handle?

Unlimited-OCR supports a 32,768-token context window - enough for most medium-length documents and conversations. Real-world usable context may vary by implementation.

What models compete with Unlimited-OCR?

Unlimited-OCR competes with other models in its class. Browse our model directory for comparisons, benchmarks, and community reviews to find the best fit.

Can my GPU run Unlimited-OCR?

Fit and estimated speed on popular hardware

Nearby options

Similar models and compatible hardware by spec